7 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties
Alex Mallen, Henning Lange, J. Nathan Kutz
Probabilistic forecasting of complex phenomena is paramount to various scientific disciplines and applications. Despite the generality and importance of the problem, general mathem…
cs.LG2020★ 7 cited
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings
Henning Lange, Bingqing Chen, Mario Berges +1
Alternating current optimal power flow (AC-OPF) is one of the fundamental problems in power systems operation. AC-OPF is traditionally cast as a constrained optimization problem th…
cs.LG2020
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction
Henning Lange, Steven L. Brunton, Nathan Kutz
We propose spectral methods for long-term forecasting of temporal signals stemming from linear and nonlinear quasi-periodic dynamical systems. For linear signals, we introduce an a…